Triple

T2311426
Position Surface form Disambiguated ID Type / Status
Subject Government Security Group E51964 entity
Predicate typeOfSecurity P3487 FINISHED
Object personnel security LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: personnel security | Statement: [Government Security Group, typeOfSecurity, personnel security]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSecurity
Context triple: [Government Security Group, typeOfSecurity, personnel security]
  • A. securityType chosen
    Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
  • B. protectionType
    Indicates the kind or method of protection that is applied to or associated with an entity.
  • C. typeOfTrust
    Indicates the specific kind or category of trust that characterizes the relationship between entities.
  • D. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • E. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88b0bb30c81908ded03b006d29387 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
PD Predicate disambiguation batch_69abc58e88e481908733fdf79d3f8a15 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.